{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "from os import environ\n",
    "\n",
    "environ['optimizer'] = 'Adam'\n",
    "environ['num_workers']= '2'\n",
    "environ['batch_size']= str(2048)\n",
    "environ['n_epochs']= '1000'\n",
    "environ['batch_norm']= 'True'\n",
    "environ['loss_func']='MAPE'\n",
    "environ['layers'] = '600 350 200 180'\n",
    "environ['dropouts'] = '0.3 '*4\n",
    "environ['log'] = 'False'\n",
    "environ['weight_decay'] = '0.01'\n",
    "environ['cuda_device'] ='cuda:0'\n",
    "environ['dataset'] = 'data/speedup_dataset2.pkl'\n",
    "\n",
    "%run utils.ipynb"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_dl, val_dl, test_dl = train_dev_split(dataset, batch_size, num_workers, log=log)\n",
    "\n",
    "db = fai.basic_data.DataBunch(train_dl, val_dl, test_dl, device=device)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "input_size = train_dl.dataset.X.shape[1]\n",
    "output_size = train_dl.dataset.Y.shape[1]\n",
    "\n",
    "\n",
    "model = None \n",
    "\n",
    "if batch_norm:\n",
    "    model = Model_BN(input_size, output_size, hidden_sizes=layers_sizes, drops=drops)\n",
    "else:\n",
    "    model = Model(input_size, output_size)\n",
    "    \n",
    "if loss_func == 'MSE':\n",
    "    criterion = nn.MSELoss()\n",
    "else:\n",
    "    criterion = mape_criterion\n",
    "\n",
    "l = fai.Learner(db, model, loss_func=criterion, metrics=[mape_criterion, rmse_criterion],\n",
    "               callback_fns=[partial(EarlyStoppingCallback, mode='min', \n",
    "                                        monitor='mape_criterion', min_delta=0, patience=50)])\n",
    "\n",
    "if optimizer == 'SGD':\n",
    "    l.opt_func = optim.SGD \n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "l = l.load(f\"speedup_{optimizer}_batch_norm_{batch_norm}_{loss_func}_nlayers_{len(layers_sizes)}_log_{log}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "LR Finder is complete, type {learner_name}.recorder.plot() to see the graph.\n"
     ]
    }
   ],
   "source": [
    "l.lr_find()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "l.recorder.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "lr = 1e-03"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "    <div>\n",
       "        <style>\n",
       "            /* Turns off some styling */\n",
       "            progress {\n",
       "                /* gets rid of default border in Firefox and Opera. */\n",
       "                border: none;\n",
       "                /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
       "                background-size: auto;\n",
       "            }\n",
       "            .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
       "                background: #F44336;\n",
       "            }\n",
       "        </style>\n",
       "      <progress value='443' class='' max='1000', style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
       "      44.30% [443/1000 18:15<22:56]\n",
       "    </div>\n",
       "    \n",
       "<table style='width:375px; margin-bottom:10px'>\n",
       "  <tr>\n",
       "    <th>epoch</th>\n",
       "    <th>train_loss</th>\n",
       "    <th>valid_loss</th>\n",
       "    <th>mape_criterion</th>\n",
       "    <th>rmse_criterion</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>1</th>\n",
       "    <th>131.186005</th>\n",
       "    <th>118.327110</th>\n",
       "    <th>118.327110</th>\n",
       "    <th>2.365730</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>2</th>\n",
       "    <th>111.737770</th>\n",
       "    <th>100.936920</th>\n",
       "    <th>100.936920</th>\n",
       "    <th>2.231269</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>3</th>\n",
       "    <th>102.769165</th>\n",
       "    <th>87.315552</th>\n",
       "    <th>87.315552</th>\n",
       "    <th>2.151950</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>4</th>\n",
       "    <th>100.130539</th>\n",
       "    <th>86.691376</th>\n",
       "    <th>86.691376</th>\n",
       "    <th>2.145351</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>5</th>\n",
       "    <th>98.921432</th>\n",
       "    <th>94.398590</th>\n",
       "    <th>94.398590</th>\n",
       "    <th>2.159111</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>6</th>\n",
       "    <th>97.031822</th>\n",
       "    <th>95.721207</th>\n",
       "    <th>95.721207</th>\n",
       "    <th>2.158938</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>7</th>\n",
       "    <th>94.874458</th>\n",
       "    <th>88.058144</th>\n",
       "    <th>88.058144</th>\n",
       "    <th>2.145090</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>8</th>\n",
       "    <th>94.225006</th>\n",
       "    <th>86.514900</th>\n",
       "    <th>86.514900</th>\n",
       "    <th>2.139602</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>9</th>\n",
       "    <th>92.927483</th>\n",
       "    <th>82.129356</th>\n",
       "    <th>82.129356</th>\n",
       "    <th>2.127649</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>10</th>\n",
       "    <th>91.896019</th>\n",
       "    <th>82.740257</th>\n",
       "    <th>82.740257</th>\n",
       "    <th>2.123766</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>11</th>\n",
       "    <th>91.884132</th>\n",
       "    <th>84.420578</th>\n",
       "    <th>84.420578</th>\n",
       "    <th>2.119345</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>12</th>\n",
       "    <th>90.417618</th>\n",
       "    <th>82.580193</th>\n",
       "    <th>82.580193</th>\n",
       "    <th>2.110159</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>13</th>\n",
       "    <th>89.648834</th>\n",
       "    <th>83.142822</th>\n",
       "    <th>83.142822</th>\n",
       "    <th>2.113332</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>14</th>\n",
       "    <th>88.589653</th>\n",
       "    <th>81.963409</th>\n",
       "    <th>81.963409</th>\n",
       "    <th>2.109774</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>15</th>\n",
       "    <th>87.954582</th>\n",
       "    <th>81.295990</th>\n",
       "    <th>81.295990</th>\n",
       "    <th>2.107527</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>16</th>\n",
       "    <th>87.324043</th>\n",
       "    <th>80.638809</th>\n",
       "    <th>80.638809</th>\n",
       "    <th>2.102641</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>17</th>\n",
       "    <th>86.084358</th>\n",
       "    <th>80.596397</th>\n",
       "    <th>80.596397</th>\n",
       "    <th>2.101533</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>18</th>\n",
       "    <th>85.124077</th>\n",
       "    <th>79.108849</th>\n",
       "    <th>79.108849</th>\n",
       "    <th>2.090508</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>19</th>\n",
       "    <th>84.590141</th>\n",
       "    <th>80.628365</th>\n",
       "    <th>80.628365</th>\n",
       "    <th>2.089884</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>20</th>\n",
       "    <th>83.795624</th>\n",
       "    <th>79.655365</th>\n",
       "    <th>79.655365</th>\n",
       "    <th>2.082834</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>21</th>\n",
       "    <th>82.299095</th>\n",
       "    <th>79.744072</th>\n",
       "    <th>79.744072</th>\n",
       "    <th>2.073635</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>22</th>\n",
       "    <th>80.749557</th>\n",
       "    <th>77.255882</th>\n",
       "    <th>77.255882</th>\n",
       "    <th>2.051750</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>23</th>\n",
       "    <th>79.205429</th>\n",
       "    <th>75.537071</th>\n",
       "    <th>75.537071</th>\n",
       "    <th>2.029958</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>24</th>\n",
       "    <th>77.434814</th>\n",
       "    <th>73.799698</th>\n",
       "    <th>73.799698</th>\n",
       "    <th>2.002094</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>25</th>\n",
       "    <th>76.302467</th>\n",
       "    <th>71.264702</th>\n",
       "    <th>71.264702</th>\n",
       "    <th>1.989263</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>26</th>\n",
       "    <th>74.800613</th>\n",
       "    <th>71.468735</th>\n",
       "    <th>71.468735</th>\n",
       "    <th>1.980791</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>27</th>\n",
       "    <th>73.528412</th>\n",
       "    <th>69.517883</th>\n",
       "    <th>69.517883</th>\n",
       "    <th>1.970539</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>28</th>\n",
       "    <th>73.029045</th>\n",
       "    <th>67.824066</th>\n",
       "    <th>67.824066</th>\n",
       "    <th>1.949028</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>29</th>\n",
       "    <th>71.885727</th>\n",
       "    <th>69.076668</th>\n",
       "    <th>69.076668</th>\n",
       "    <th>1.950272</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>30</th>\n",
       "    <th>71.532486</th>\n",
       "    <th>70.408112</th>\n",
       "    <th>70.408112</th>\n",
       "    <th>1.938895</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>31</th>\n",
       "    <th>70.872917</th>\n",
       "    <th>68.049835</th>\n",
       "    <th>68.049835</th>\n",
       "    <th>1.930785</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>32</th>\n",
       "    <th>70.226486</th>\n",
       "    <th>65.513779</th>\n",
       "    <th>65.513779</th>\n",
       "    <th>1.934062</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>33</th>\n",
       "    <th>69.433182</th>\n",
       "    <th>66.298126</th>\n",
       "    <th>66.298126</th>\n",
       "    <th>1.924053</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>34</th>\n",
       "    <th>69.192749</th>\n",
       "    <th>66.819481</th>\n",
       "    <th>66.819481</th>\n",
       "    <th>1.931062</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>35</th>\n",
       "    <th>68.453407</th>\n",
       "    <th>65.676567</th>\n",
       "    <th>65.676567</th>\n",
       "    <th>1.922113</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>36</th>\n",
       "    <th>68.318153</th>\n",
       "    <th>65.633995</th>\n",
       "    <th>65.633995</th>\n",
       "    <th>1.917561</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>37</th>\n",
       "    <th>67.738205</th>\n",
       "    <th>64.591347</th>\n",
       "    <th>64.591347</th>\n",
       "    <th>1.911585</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>38</th>\n",
       "    <th>67.570145</th>\n",
       "    <th>66.149544</th>\n",
       "    <th>66.149544</th>\n",
       "    <th>1.904077</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>39</th>\n",
       "    <th>66.936714</th>\n",
       "    <th>65.487350</th>\n",
       "    <th>65.487350</th>\n",
       "    <th>1.909165</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>40</th>\n",
       "    <th>66.676491</th>\n",
       "    <th>64.735054</th>\n",
       "    <th>64.735054</th>\n",
       "    <th>1.909983</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>41</th>\n",
       "    <th>66.267532</th>\n",
       "    <th>64.889191</th>\n",
       "    <th>64.889191</th>\n",
       "    <th>1.900867</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>42</th>\n",
       "    <th>65.861221</th>\n",
       "    <th>64.125381</th>\n",
       "    <th>64.125381</th>\n",
       "    <th>1.901141</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>43</th>\n",
       "    <th>65.584679</th>\n",
       "    <th>64.584229</th>\n",
       "    <th>64.584229</th>\n",
       "    <th>1.903491</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>44</th>\n",
       "    <th>65.507797</th>\n",
       "    <th>63.578957</th>\n",
       "    <th>63.578957</th>\n",
       "    <th>1.894298</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>45</th>\n",
       "    <th>65.188736</th>\n",
       "    <th>63.986629</th>\n",
       "    <th>63.986629</th>\n",
       "    <th>1.898861</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>46</th>\n",
       "    <th>64.803780</th>\n",
       "    <th>64.437035</th>\n",
       "    <th>64.437035</th>\n",
       "    <th>1.897636</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>47</th>\n",
       "    <th>64.610565</th>\n",
       "    <th>64.521706</th>\n",
       "    <th>64.521706</th>\n",
       "    <th>1.901724</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>48</th>\n",
       "    <th>64.203949</th>\n",
       "    <th>63.596550</th>\n",
       "    <th>63.596550</th>\n",
       "    <th>1.893396</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>49</th>\n",
       "    <th>63.865402</th>\n",
       "    <th>63.658081</th>\n",
       "    <th>63.658081</th>\n",
       "    <th>1.896635</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>50</th>\n",
       "    <th>63.577297</th>\n",
       "    <th>63.734550</th>\n",
       "    <th>63.734550</th>\n",
       "    <th>1.891357</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>51</th>\n",
       "    <th>63.238541</th>\n",
       "    <th>63.021938</th>\n",
       "    <th>63.021938</th>\n",
       "    <th>1.890073</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>52</th>\n",
       "    <th>63.250866</th>\n",
       "    <th>63.017712</th>\n",
       "    <th>63.017712</th>\n",
       "    <th>1.891347</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>53</th>\n",
       "    <th>62.794544</th>\n",
       "    <th>62.398956</th>\n",
       "    <th>62.398956</th>\n",
       "    <th>1.882792</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>54</th>\n",
       "    <th>62.844643</th>\n",
       "    <th>62.100517</th>\n",
       "    <th>62.100517</th>\n",
       "    <th>1.882472</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>55</th>\n",
       "    <th>62.465912</th>\n",
       "    <th>61.733242</th>\n",
       "    <th>61.733242</th>\n",
       "    <th>1.880378</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>56</th>\n",
       "    <th>61.859409</th>\n",
       "    <th>61.739300</th>\n",
       "    <th>61.739300</th>\n",
       "    <th>1.878456</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>57</th>\n",
       "    <th>61.602486</th>\n",
       "    <th>61.396957</th>\n",
       "    <th>61.396957</th>\n",
       "    <th>1.878411</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>58</th>\n",
       "    <th>61.579723</th>\n",
       "    <th>62.329399</th>\n",
       "    <th>62.329399</th>\n",
       "    <th>1.886403</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>59</th>\n",
       "    <th>61.088902</th>\n",
       "    <th>60.808033</th>\n",
       "    <th>60.808033</th>\n",
       "    <th>1.875814</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>60</th>\n",
       "    <th>61.178715</th>\n",
       "    <th>62.095638</th>\n",
       "    <th>62.095638</th>\n",
       "    <th>1.884439</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>61</th>\n",
       "    <th>61.851532</th>\n",
       "    <th>62.647518</th>\n",
       "    <th>62.647518</th>\n",
       "    <th>1.880816</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>62</th>\n",
       "    <th>61.228840</th>\n",
       "    <th>60.257782</th>\n",
       "    <th>60.257782</th>\n",
       "    <th>1.854130</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>63</th>\n",
       "    <th>60.476742</th>\n",
       "    <th>61.545033</th>\n",
       "    <th>61.545033</th>\n",
       "    <th>1.877542</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>64</th>\n",
       "    <th>61.077351</th>\n",
       "    <th>60.999493</th>\n",
       "    <th>60.999493</th>\n",
       "    <th>1.860489</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>65</th>\n",
       "    <th>59.979485</th>\n",
       "    <th>59.482761</th>\n",
       "    <th>59.482761</th>\n",
       "    <th>1.856195</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>66</th>\n",
       "    <th>60.777908</th>\n",
       "    <th>60.234406</th>\n",
       "    <th>60.234406</th>\n",
       "    <th>1.864061</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>67</th>\n",
       "    <th>60.139446</th>\n",
       "    <th>60.239498</th>\n",
       "    <th>60.239498</th>\n",
       "    <th>1.858041</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>68</th>\n",
       "    <th>60.122875</th>\n",
       "    <th>60.060463</th>\n",
       "    <th>60.060463</th>\n",
       "    <th>1.865623</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>69</th>\n",
       "    <th>60.389591</th>\n",
       "    <th>59.831150</th>\n",
       "    <th>59.831150</th>\n",
       "    <th>1.861587</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>70</th>\n",
       "    <th>60.488564</th>\n",
       "    <th>60.535183</th>\n",
       "    <th>60.535183</th>\n",
       "    <th>1.862046</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>71</th>\n",
       "    <th>60.091625</th>\n",
       "    <th>59.370506</th>\n",
       "    <th>59.370506</th>\n",
       "    <th>1.853823</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>72</th>\n",
       "    <th>58.824245</th>\n",
       "    <th>59.384769</th>\n",
       "    <th>59.384769</th>\n",
       "    <th>1.855425</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>73</th>\n",
       "    <th>59.016323</th>\n",
       "    <th>59.024982</th>\n",
       "    <th>59.024982</th>\n",
       "    <th>1.847600</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>74</th>\n",
       "    <th>58.858879</th>\n",
       "    <th>59.852142</th>\n",
       "    <th>59.852142</th>\n",
       "    <th>1.848543</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>75</th>\n",
       "    <th>57.948444</th>\n",
       "    <th>58.579163</th>\n",
       "    <th>58.579163</th>\n",
       "    <th>1.841448</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>76</th>\n",
       "    <th>58.331142</th>\n",
       "    <th>58.257267</th>\n",
       "    <th>58.257267</th>\n",
       "    <th>1.842911</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>77</th>\n",
       "    <th>58.343922</th>\n",
       "    <th>57.043957</th>\n",
       "    <th>57.043957</th>\n",
       "    <th>1.835268</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>78</th>\n",
       "    <th>57.761612</th>\n",
       "    <th>56.889320</th>\n",
       "    <th>56.889320</th>\n",
       "    <th>1.832711</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>79</th>\n",
       "    <th>57.253361</th>\n",
       "    <th>56.510887</th>\n",
       "    <th>56.510887</th>\n",
       "    <th>1.835037</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>80</th>\n",
       "    <th>57.960804</th>\n",
       "    <th>57.997604</th>\n",
       "    <th>57.997604</th>\n",
       "    <th>1.837021</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>81</th>\n",
       "    <th>57.460735</th>\n",
       "    <th>56.510223</th>\n",
       "    <th>56.510223</th>\n",
       "    <th>1.833572</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>82</th>\n",
       "    <th>56.650497</th>\n",
       "    <th>56.066486</th>\n",
       "    <th>56.066486</th>\n",
       "    <th>1.832510</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>83</th>\n",
       "    <th>56.927773</th>\n",
       "    <th>55.915588</th>\n",
       "    <th>55.915588</th>\n",
       "    <th>1.831399</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>84</th>\n",
       "    <th>57.152115</th>\n",
       "    <th>56.959236</th>\n",
       "    <th>56.959236</th>\n",
       "    <th>1.836498</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>85</th>\n",
       "    <th>56.631821</th>\n",
       "    <th>56.316917</th>\n",
       "    <th>56.316917</th>\n",
       "    <th>1.832746</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>86</th>\n",
       "    <th>56.935844</th>\n",
       "    <th>57.681114</th>\n",
       "    <th>57.681114</th>\n",
       "    <th>1.841368</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>87</th>\n",
       "    <th>55.879856</th>\n",
       "    <th>56.971764</th>\n",
       "    <th>56.971764</th>\n",
       "    <th>1.843548</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>88</th>\n",
       "    <th>55.852001</th>\n",
       "    <th>55.830544</th>\n",
       "    <th>55.830544</th>\n",
       "    <th>1.827891</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>89</th>\n",
       "    <th>55.707340</th>\n",
       "    <th>56.059868</th>\n",
       "    <th>56.059868</th>\n",
       "    <th>1.832667</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>90</th>\n",
       "    <th>56.002125</th>\n",
       "    <th>56.002899</th>\n",
       "    <th>56.002899</th>\n",
       "    <th>1.832660</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>91</th>\n",
       "    <th>55.793076</th>\n",
       "    <th>54.934864</th>\n",
       "    <th>54.934864</th>\n",
       "    <th>1.834697</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>92</th>\n",
       "    <th>54.977867</th>\n",
       "    <th>54.629044</th>\n",
       "    <th>54.629044</th>\n",
       "    <th>1.815608</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>93</th>\n",
       "    <th>54.440609</th>\n",
       "    <th>54.578392</th>\n",
       "    <th>54.578392</th>\n",
       "    <th>1.826503</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>94</th>\n",
       "    <th>54.288147</th>\n",
       "    <th>55.803368</th>\n",
       "    <th>55.803368</th>\n",
       "    <th>1.819148</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>95</th>\n",
       "    <th>55.325954</th>\n",
       "    <th>54.868008</th>\n",
       "    <th>54.868008</th>\n",
       "    <th>1.832606</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>96</th>\n",
       "    <th>53.789509</th>\n",
       "    <th>52.343689</th>\n",
       "    <th>52.343689</th>\n",
       "    <th>1.812873</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>97</th>\n",
       "    <th>53.616024</th>\n",
       "    <th>53.592293</th>\n",
       "    <th>53.592293</th>\n",
       "    <th>1.804919</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>98</th>\n",
       "    <th>54.299149</th>\n",
       "    <th>53.528519</th>\n",
       "    <th>53.528519</th>\n",
       "    <th>1.818017</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>99</th>\n",
       "    <th>53.854721</th>\n",
       "    <th>53.865063</th>\n",
       "    <th>53.865063</th>\n",
       "    <th>1.829648</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>100</th>\n",
       "    <th>53.443329</th>\n",
       "    <th>52.957825</th>\n",
       "    <th>52.957825</th>\n",
       "    <th>1.804216</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>101</th>\n",
       "    <th>53.197613</th>\n",
       "    <th>50.977180</th>\n",
       "    <th>50.977180</th>\n",
       "    <th>1.805570</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>102</th>\n",
       "    <th>52.730335</th>\n",
       "    <th>53.060387</th>\n",
       "    <th>53.060387</th>\n",
       "    <th>1.814374</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>103</th>\n",
       "    <th>54.519833</th>\n",
       "    <th>55.267414</th>\n",
       "    <th>55.267414</th>\n",
       "    <th>1.811364</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>104</th>\n",
       "    <th>54.572552</th>\n",
       "    <th>53.314026</th>\n",
       "    <th>53.314026</th>\n",
       "    <th>1.811737</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>105</th>\n",
       "    <th>52.994968</th>\n",
       "    <th>52.634323</th>\n",
       "    <th>52.634323</th>\n",
       "    <th>1.809548</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>106</th>\n",
       "    <th>52.525455</th>\n",
       "    <th>51.958229</th>\n",
       "    <th>51.958229</th>\n",
       "    <th>1.801506</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>107</th>\n",
       "    <th>52.145889</th>\n",
       "    <th>52.579033</th>\n",
       "    <th>52.579033</th>\n",
       "    <th>1.810814</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>108</th>\n",
       "    <th>51.987354</th>\n",
       "    <th>50.375908</th>\n",
       "    <th>50.375908</th>\n",
       "    <th>1.778321</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>109</th>\n",
       "    <th>52.073734</th>\n",
       "    <th>51.446587</th>\n",
       "    <th>51.446587</th>\n",
       "    <th>1.782352</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>110</th>\n",
       "    <th>52.596542</th>\n",
       "    <th>52.848732</th>\n",
       "    <th>52.848732</th>\n",
       "    <th>1.811755</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>111</th>\n",
       "    <th>52.022419</th>\n",
       "    <th>51.515408</th>\n",
       "    <th>51.515408</th>\n",
       "    <th>1.793084</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>112</th>\n",
       "    <th>51.818325</th>\n",
       "    <th>50.287743</th>\n",
       "    <th>50.287743</th>\n",
       "    <th>1.788664</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>113</th>\n",
       "    <th>51.932667</th>\n",
       "    <th>53.191727</th>\n",
       "    <th>53.191727</th>\n",
       "    <th>1.799595</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>114</th>\n",
       "    <th>51.839687</th>\n",
       "    <th>52.599087</th>\n",
       "    <th>52.599087</th>\n",
       "    <th>1.788917</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>115</th>\n",
       "    <th>50.703022</th>\n",
       "    <th>50.699116</th>\n",
       "    <th>50.699116</th>\n",
       "    <th>1.778221</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>116</th>\n",
       "    <th>50.744781</th>\n",
       "    <th>49.456486</th>\n",
       "    <th>49.456486</th>\n",
       "    <th>1.780587</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>117</th>\n",
       "    <th>50.766476</th>\n",
       "    <th>54.356007</th>\n",
       "    <th>54.356007</th>\n",
       "    <th>1.807996</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>118</th>\n",
       "    <th>51.241619</th>\n",
       "    <th>50.182877</th>\n",
       "    <th>50.182877</th>\n",
       "    <th>1.782773</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>119</th>\n",
       "    <th>50.630695</th>\n",
       "    <th>49.275249</th>\n",
       "    <th>49.275249</th>\n",
       "    <th>1.766461</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>120</th>\n",
       "    <th>50.788372</th>\n",
       "    <th>49.673813</th>\n",
       "    <th>49.673813</th>\n",
       "    <th>1.780353</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>121</th>\n",
       "    <th>50.296055</th>\n",
       "    <th>48.380814</th>\n",
       "    <th>48.380814</th>\n",
       "    <th>1.777731</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>122</th>\n",
       "    <th>49.013100</th>\n",
       "    <th>47.219776</th>\n",
       "    <th>47.219776</th>\n",
       "    <th>1.770845</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>123</th>\n",
       "    <th>48.934433</th>\n",
       "    <th>48.878834</th>\n",
       "    <th>48.878834</th>\n",
       "    <th>1.777515</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>124</th>\n",
       "    <th>49.372543</th>\n",
       "    <th>49.736595</th>\n",
       "    <th>49.736595</th>\n",
       "    <th>1.778445</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>125</th>\n",
       "    <th>49.032223</th>\n",
       "    <th>46.353901</th>\n",
       "    <th>46.353901</th>\n",
       "    <th>1.761345</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>126</th>\n",
       "    <th>48.288269</th>\n",
       "    <th>48.077000</th>\n",
       "    <th>48.077000</th>\n",
       "    <th>1.770452</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>127</th>\n",
       "    <th>49.414677</th>\n",
       "    <th>48.065048</th>\n",
       "    <th>48.065048</th>\n",
       "    <th>1.775442</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>128</th>\n",
       "    <th>47.811966</th>\n",
       "    <th>46.504913</th>\n",
       "    <th>46.504913</th>\n",
       "    <th>1.747793</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>129</th>\n",
       "    <th>48.020809</th>\n",
       "    <th>48.015121</th>\n",
       "    <th>48.015121</th>\n",
       "    <th>1.778713</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>130</th>\n",
       "    <th>47.349472</th>\n",
       "    <th>46.500954</th>\n",
       "    <th>46.500954</th>\n",
       "    <th>1.743394</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>131</th>\n",
       "    <th>47.626797</th>\n",
       "    <th>48.080086</th>\n",
       "    <th>48.080086</th>\n",
       "    <th>1.743423</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>132</th>\n",
       "    <th>46.382298</th>\n",
       "    <th>46.094742</th>\n",
       "    <th>46.094742</th>\n",
       "    <th>1.748431</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>133</th>\n",
       "    <th>46.150269</th>\n",
       "    <th>46.733997</th>\n",
       "    <th>46.733997</th>\n",
       "    <th>1.744888</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>134</th>\n",
       "    <th>47.094601</th>\n",
       "    <th>47.874092</th>\n",
       "    <th>47.874092</th>\n",
       "    <th>1.776585</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>135</th>\n",
       "    <th>46.888336</th>\n",
       "    <th>46.079659</th>\n",
       "    <th>46.079659</th>\n",
       "    <th>1.739224</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>136</th>\n",
       "    <th>45.991375</th>\n",
       "    <th>45.607933</th>\n",
       "    <th>45.607933</th>\n",
       "    <th>1.757048</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>137</th>\n",
       "    <th>47.340874</th>\n",
       "    <th>47.109303</th>\n",
       "    <th>47.109303</th>\n",
       "    <th>1.731114</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>138</th>\n",
       "    <th>46.099216</th>\n",
       "    <th>45.569031</th>\n",
       "    <th>45.569031</th>\n",
       "    <th>1.747588</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>139</th>\n",
       "    <th>46.821468</th>\n",
       "    <th>45.719254</th>\n",
       "    <th>45.719254</th>\n",
       "    <th>1.742620</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>140</th>\n",
       "    <th>48.016159</th>\n",
       "    <th>48.100273</th>\n",
       "    <th>48.100273</th>\n",
       "    <th>1.754484</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>141</th>\n",
       "    <th>45.778782</th>\n",
       "    <th>45.126934</th>\n",
       "    <th>45.126934</th>\n",
       "    <th>1.745102</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>142</th>\n",
       "    <th>47.680397</th>\n",
       "    <th>46.413742</th>\n",
       "    <th>46.413742</th>\n",
       "    <th>1.761463</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>143</th>\n",
       "    <th>45.252476</th>\n",
       "    <th>45.758652</th>\n",
       "    <th>45.758652</th>\n",
       "    <th>1.722935</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>144</th>\n",
       "    <th>44.904060</th>\n",
       "    <th>46.108616</th>\n",
       "    <th>46.108616</th>\n",
       "    <th>1.751662</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>145</th>\n",
       "    <th>47.741596</th>\n",
       "    <th>47.045223</th>\n",
       "    <th>47.045223</th>\n",
       "    <th>1.749589</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>146</th>\n",
       "    <th>45.660152</th>\n",
       "    <th>45.870255</th>\n",
       "    <th>45.870255</th>\n",
       "    <th>1.725674</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>147</th>\n",
       "    <th>46.860130</th>\n",
       "    <th>45.725639</th>\n",
       "    <th>45.725639</th>\n",
       "    <th>1.760472</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>148</th>\n",
       "    <th>45.628712</th>\n",
       "    <th>46.045181</th>\n",
       "    <th>46.045181</th>\n",
       "    <th>1.740270</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>149</th>\n",
       "    <th>46.670139</th>\n",
       "    <th>45.322552</th>\n",
       "    <th>45.322552</th>\n",
       "    <th>1.748524</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>150</th>\n",
       "    <th>45.512245</th>\n",
       "    <th>44.481163</th>\n",
       "    <th>44.481163</th>\n",
       "    <th>1.731431</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>151</th>\n",
       "    <th>45.722626</th>\n",
       "    <th>44.757683</th>\n",
       "    <th>44.757683</th>\n",
       "    <th>1.741179</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>152</th>\n",
       "    <th>43.129532</th>\n",
       "    <th>43.013588</th>\n",
       "    <th>43.013588</th>\n",
       "    <th>1.691741</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>153</th>\n",
       "    <th>43.511806</th>\n",
       "    <th>46.805580</th>\n",
       "    <th>46.805580</th>\n",
       "    <th>1.750820</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>154</th>\n",
       "    <th>46.243088</th>\n",
       "    <th>47.318176</th>\n",
       "    <th>47.318176</th>\n",
       "    <th>1.763892</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>155</th>\n",
       "    <th>44.691978</th>\n",
       "    <th>43.259811</th>\n",
       "    <th>43.259811</th>\n",
       "    <th>1.706484</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>156</th>\n",
       "    <th>45.449741</th>\n",
       "    <th>44.571762</th>\n",
       "    <th>44.571762</th>\n",
       "    <th>1.725716</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>157</th>\n",
       "    <th>44.468693</th>\n",
       "    <th>43.929356</th>\n",
       "    <th>43.929356</th>\n",
       "    <th>1.728284</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>158</th>\n",
       "    <th>43.690872</th>\n",
       "    <th>44.558952</th>\n",
       "    <th>44.558952</th>\n",
       "    <th>1.711835</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>159</th>\n",
       "    <th>43.144077</th>\n",
       "    <th>42.350826</th>\n",
       "    <th>42.350826</th>\n",
       "    <th>1.689219</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>160</th>\n",
       "    <th>43.289593</th>\n",
       "    <th>44.927334</th>\n",
       "    <th>44.927334</th>\n",
       "    <th>1.685216</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>161</th>\n",
       "    <th>44.195847</th>\n",
       "    <th>45.716991</th>\n",
       "    <th>45.716991</th>\n",
       "    <th>1.746327</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>162</th>\n",
       "    <th>43.988300</th>\n",
       "    <th>42.750889</th>\n",
       "    <th>42.750889</th>\n",
       "    <th>1.675545</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>163</th>\n",
       "    <th>42.955120</th>\n",
       "    <th>46.494556</th>\n",
       "    <th>46.494556</th>\n",
       "    <th>1.735428</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>164</th>\n",
       "    <th>45.599113</th>\n",
       "    <th>45.633701</th>\n",
       "    <th>45.633701</th>\n",
       "    <th>1.701030</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>165</th>\n",
       "    <th>43.734612</th>\n",
       "    <th>43.879253</th>\n",
       "    <th>43.879253</th>\n",
       "    <th>1.676852</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>166</th>\n",
       "    <th>44.078144</th>\n",
       "    <th>43.924175</th>\n",
       "    <th>43.924175</th>\n",
       "    <th>1.659390</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>167</th>\n",
       "    <th>42.827579</th>\n",
       "    <th>45.133167</th>\n",
       "    <th>45.133167</th>\n",
       "    <th>1.705366</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>168</th>\n",
       "    <th>42.860340</th>\n",
       "    <th>44.399319</th>\n",
       "    <th>44.399319</th>\n",
       "    <th>1.658334</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>169</th>\n",
       "    <th>43.334457</th>\n",
       "    <th>43.969711</th>\n",
       "    <th>43.969711</th>\n",
       "    <th>1.642674</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>170</th>\n",
       "    <th>44.799976</th>\n",
       "    <th>43.907394</th>\n",
       "    <th>43.907394</th>\n",
       "    <th>1.645804</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>171</th>\n",
       "    <th>43.318031</th>\n",
       "    <th>42.230587</th>\n",
       "    <th>42.230587</th>\n",
       "    <th>1.551930</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>172</th>\n",
       "    <th>42.104351</th>\n",
       "    <th>42.161919</th>\n",
       "    <th>42.161919</th>\n",
       "    <th>1.580131</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>173</th>\n",
       "    <th>42.365986</th>\n",
       "    <th>40.919739</th>\n",
       "    <th>40.919739</th>\n",
       "    <th>1.530025</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>174</th>\n",
       "    <th>41.921844</th>\n",
       "    <th>44.100822</th>\n",
       "    <th>44.100822</th>\n",
       "    <th>1.608016</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>175</th>\n",
       "    <th>41.844379</th>\n",
       "    <th>43.590595</th>\n",
       "    <th>43.590595</th>\n",
       "    <th>1.656094</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>176</th>\n",
       "    <th>41.228168</th>\n",
       "    <th>44.239532</th>\n",
       "    <th>44.239532</th>\n",
       "    <th>1.639761</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>177</th>\n",
       "    <th>40.978241</th>\n",
       "    <th>41.319096</th>\n",
       "    <th>41.319096</th>\n",
       "    <th>1.493823</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>178</th>\n",
       "    <th>43.570782</th>\n",
       "    <th>44.304596</th>\n",
       "    <th>44.304596</th>\n",
       "    <th>1.687583</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>179</th>\n",
       "    <th>42.599693</th>\n",
       "    <th>44.709148</th>\n",
       "    <th>44.709148</th>\n",
       "    <th>1.578982</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>180</th>\n",
       "    <th>41.795219</th>\n",
       "    <th>42.096638</th>\n",
       "    <th>42.096638</th>\n",
       "    <th>1.585795</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>181</th>\n",
       "    <th>41.788284</th>\n",
       "    <th>42.472614</th>\n",
       "    <th>42.472614</th>\n",
       "    <th>1.628078</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>182</th>\n",
       "    <th>41.176521</th>\n",
       "    <th>41.801136</th>\n",
       "    <th>41.801136</th>\n",
       "    <th>1.590041</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>183</th>\n",
       "    <th>41.841366</th>\n",
       "    <th>39.735535</th>\n",
       "    <th>39.735535</th>\n",
       "    <th>1.478170</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>184</th>\n",
       "    <th>41.035221</th>\n",
       "    <th>39.490719</th>\n",
       "    <th>39.490719</th>\n",
       "    <th>1.458530</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>185</th>\n",
       "    <th>40.302456</th>\n",
       "    <th>40.322231</th>\n",
       "    <th>40.322231</th>\n",
       "    <th>1.444194</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>186</th>\n",
       "    <th>41.804058</th>\n",
       "    <th>43.562950</th>\n",
       "    <th>43.562950</th>\n",
       "    <th>1.614299</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>187</th>\n",
       "    <th>42.024364</th>\n",
       "    <th>43.251183</th>\n",
       "    <th>43.251183</th>\n",
       "    <th>1.666918</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>188</th>\n",
       "    <th>43.844383</th>\n",
       "    <th>45.742542</th>\n",
       "    <th>45.742542</th>\n",
       "    <th>1.692517</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>189</th>\n",
       "    <th>40.956356</th>\n",
       "    <th>41.778954</th>\n",
       "    <th>41.778954</th>\n",
       "    <th>1.588988</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>190</th>\n",
       "    <th>40.911716</th>\n",
       "    <th>46.227123</th>\n",
       "    <th>46.227123</th>\n",
       "    <th>1.709689</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>191</th>\n",
       "    <th>41.584106</th>\n",
       "    <th>42.163380</th>\n",
       "    <th>42.163380</th>\n",
       "    <th>1.557106</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>192</th>\n",
       "    <th>41.904671</th>\n",
       "    <th>43.373924</th>\n",
       "    <th>43.373924</th>\n",
       "    <th>1.589256</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>193</th>\n",
       "    <th>41.834347</th>\n",
       "    <th>42.605968</th>\n",
       "    <th>42.605968</th>\n",
       "    <th>1.544921</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>194</th>\n",
       "    <th>42.035915</th>\n",
       "    <th>42.863132</th>\n",
       "    <th>42.863132</th>\n",
       "    <th>1.555029</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>195</th>\n",
       "    <th>39.868675</th>\n",
       "    <th>41.224174</th>\n",
       "    <th>41.224174</th>\n",
       "    <th>1.493809</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>196</th>\n",
       "    <th>40.640335</th>\n",
       "    <th>42.118412</th>\n",
       "    <th>42.118412</th>\n",
       "    <th>1.574209</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>197</th>\n",
       "    <th>40.588104</th>\n",
       "    <th>43.353035</th>\n",
       "    <th>43.353035</th>\n",
       "    <th>1.598749</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>198</th>\n",
       "    <th>40.987015</th>\n",
       "    <th>42.997532</th>\n",
       "    <th>42.997532</th>\n",
       "    <th>1.616432</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>199</th>\n",
       "    <th>40.103718</th>\n",
       "    <th>43.484356</th>\n",
       "    <th>43.484356</th>\n",
       "    <th>1.532341</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>200</th>\n",
       "    <th>41.605244</th>\n",
       "    <th>42.950218</th>\n",
       "    <th>42.950218</th>\n",
       "    <th>1.562310</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>201</th>\n",
       "    <th>40.225731</th>\n",
       "    <th>43.750320</th>\n",
       "    <th>43.750320</th>\n",
       "    <th>1.493173</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>202</th>\n",
       "    <th>39.840607</th>\n",
       "    <th>38.943562</th>\n",
       "    <th>38.943562</th>\n",
       "    <th>1.348195</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>203</th>\n",
       "    <th>39.687382</th>\n",
       "    <th>40.870724</th>\n",
       "    <th>40.870724</th>\n",
       "    <th>1.388507</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>204</th>\n",
       "    <th>39.551735</th>\n",
       "    <th>39.103477</th>\n",
       "    <th>39.103477</th>\n",
       "    <th>1.384693</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>205</th>\n",
       "    <th>40.643642</th>\n",
       "    <th>40.455788</th>\n",
       "    <th>40.455788</th>\n",
       "    <th>1.437918</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>206</th>\n",
       "    <th>40.413044</th>\n",
       "    <th>42.908836</th>\n",
       "    <th>42.908836</th>\n",
       "    <th>1.489061</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>207</th>\n",
       "    <th>40.406578</th>\n",
       "    <th>41.271790</th>\n",
       "    <th>41.271790</th>\n",
       "    <th>1.479002</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>208</th>\n",
       "    <th>40.029053</th>\n",
       "    <th>40.777824</th>\n",
       "    <th>40.777824</th>\n",
       "    <th>1.401904</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>209</th>\n",
       "    <th>41.436176</th>\n",
       "    <th>45.951859</th>\n",
       "    <th>45.951859</th>\n",
       "    <th>1.614012</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>210</th>\n",
       "    <th>41.541702</th>\n",
       "    <th>41.733482</th>\n",
       "    <th>41.733482</th>\n",
       "    <th>1.527961</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>211</th>\n",
       "    <th>38.855293</th>\n",
       "    <th>39.947872</th>\n",
       "    <th>39.947872</th>\n",
       "    <th>1.373734</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>212</th>\n",
       "    <th>39.183628</th>\n",
       "    <th>41.458618</th>\n",
       "    <th>41.458618</th>\n",
       "    <th>1.444878</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>213</th>\n",
       "    <th>39.113293</th>\n",
       "    <th>43.970394</th>\n",
       "    <th>43.970394</th>\n",
       "    <th>1.584742</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>214</th>\n",
       "    <th>41.125076</th>\n",
       "    <th>40.984013</th>\n",
       "    <th>40.984013</th>\n",
       "    <th>1.443657</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>215</th>\n",
       "    <th>40.351776</th>\n",
       "    <th>41.994034</th>\n",
       "    <th>41.994034</th>\n",
       "    <th>1.420819</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>216</th>\n",
       "    <th>38.095802</th>\n",
       "    <th>40.806408</th>\n",
       "    <th>40.806408</th>\n",
       "    <th>1.368801</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>217</th>\n",
       "    <th>38.404827</th>\n",
       "    <th>41.383156</th>\n",
       "    <th>41.383156</th>\n",
       "    <th>1.502778</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>218</th>\n",
       "    <th>38.001038</th>\n",
       "    <th>38.880562</th>\n",
       "    <th>38.880562</th>\n",
       "    <th>1.292845</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>219</th>\n",
       "    <th>38.307465</th>\n",
       "    <th>39.460686</th>\n",
       "    <th>39.460686</th>\n",
       "    <th>1.349355</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>220</th>\n",
       "    <th>38.315987</th>\n",
       "    <th>43.271358</th>\n",
       "    <th>43.271358</th>\n",
       "    <th>1.463882</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>221</th>\n",
       "    <th>40.130947</th>\n",
       "    <th>45.603485</th>\n",
       "    <th>45.603485</th>\n",
       "    <th>1.686417</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>222</th>\n",
       "    <th>38.514248</th>\n",
       "    <th>40.826584</th>\n",
       "    <th>40.826584</th>\n",
       "    <th>1.416972</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>223</th>\n",
       "    <th>39.270370</th>\n",
       "    <th>41.516808</th>\n",
       "    <th>41.516808</th>\n",
       "    <th>1.418651</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>224</th>\n",
       "    <th>38.975510</th>\n",
       "    <th>40.175282</th>\n",
       "    <th>40.175282</th>\n",
       "    <th>1.422196</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>225</th>\n",
       "    <th>39.219471</th>\n",
       "    <th>39.632168</th>\n",
       "    <th>39.632168</th>\n",
       "    <th>1.357574</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>226</th>\n",
       "    <th>36.622215</th>\n",
       "    <th>39.733208</th>\n",
       "    <th>39.733208</th>\n",
       "    <th>1.390343</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>227</th>\n",
       "    <th>40.212353</th>\n",
       "    <th>42.951164</th>\n",
       "    <th>42.951164</th>\n",
       "    <th>1.521664</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>228</th>\n",
       "    <th>38.007011</th>\n",
       "    <th>36.827099</th>\n",
       "    <th>36.827099</th>\n",
       "    <th>1.178767</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>229</th>\n",
       "    <th>39.410954</th>\n",
       "    <th>40.896755</th>\n",
       "    <th>40.896755</th>\n",
       "    <th>1.404172</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>230</th>\n",
       "    <th>39.021622</th>\n",
       "    <th>40.915298</th>\n",
       "    <th>40.915298</th>\n",
       "    <th>1.352197</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>231</th>\n",
       "    <th>37.432644</th>\n",
       "    <th>41.864571</th>\n",
       "    <th>41.864571</th>\n",
       "    <th>1.419218</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>232</th>\n",
       "    <th>38.419384</th>\n",
       "    <th>39.316120</th>\n",
       "    <th>39.316120</th>\n",
       "    <th>1.313650</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>233</th>\n",
       "    <th>39.158321</th>\n",
       "    <th>38.403442</th>\n",
       "    <th>38.403442</th>\n",
       "    <th>1.278405</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>234</th>\n",
       "    <th>37.676281</th>\n",
       "    <th>39.464005</th>\n",
       "    <th>39.464005</th>\n",
       "    <th>1.363185</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>235</th>\n",
       "    <th>37.609577</th>\n",
       "    <th>41.836987</th>\n",
       "    <th>41.836987</th>\n",
       "    <th>1.499540</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>236</th>\n",
       "    <th>40.378300</th>\n",
       "    <th>40.855827</th>\n",
       "    <th>40.855827</th>\n",
       "    <th>1.356698</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>237</th>\n",
       "    <th>37.531303</th>\n",
       "    <th>37.985302</th>\n",
       "    <th>37.985302</th>\n",
       "    <th>1.274840</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>238</th>\n",
       "    <th>39.394905</th>\n",
       "    <th>41.035763</th>\n",
       "    <th>41.035763</th>\n",
       "    <th>1.401219</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>239</th>\n",
       "    <th>36.957798</th>\n",
       "    <th>38.997536</th>\n",
       "    <th>38.997536</th>\n",
       "    <th>1.262367</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>240</th>\n",
       "    <th>35.792019</th>\n",
       "    <th>39.912693</th>\n",
       "    <th>39.912693</th>\n",
       "    <th>1.294263</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>241</th>\n",
       "    <th>40.661087</th>\n",
       "    <th>42.526463</th>\n",
       "    <th>42.526463</th>\n",
       "    <th>1.559897</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>242</th>\n",
       "    <th>42.735416</th>\n",
       "    <th>40.460659</th>\n",
       "    <th>40.460659</th>\n",
       "    <th>1.444491</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>243</th>\n",
       "    <th>37.344257</th>\n",
       "    <th>39.146252</th>\n",
       "    <th>39.146252</th>\n",
       "    <th>1.324696</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>244</th>\n",
       "    <th>35.305317</th>\n",
       "    <th>38.033234</th>\n",
       "    <th>38.033234</th>\n",
       "    <th>1.173898</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>245</th>\n",
       "    <th>35.525166</th>\n",
       "    <th>37.974030</th>\n",
       "    <th>37.974030</th>\n",
       "    <th>1.215643</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>246</th>\n",
       "    <th>38.413494</th>\n",
       "    <th>40.869984</th>\n",
       "    <th>40.869984</th>\n",
       "    <th>1.385581</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>247</th>\n",
       "    <th>36.448746</th>\n",
       "    <th>37.462124</th>\n",
       "    <th>37.462124</th>\n",
       "    <th>1.134210</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>248</th>\n",
       "    <th>37.154316</th>\n",
       "    <th>39.586628</th>\n",
       "    <th>39.586628</th>\n",
       "    <th>1.284232</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>249</th>\n",
       "    <th>42.723915</th>\n",
       "    <th>43.675793</th>\n",
       "    <th>43.675793</th>\n",
       "    <th>1.522721</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>250</th>\n",
       "    <th>39.802235</th>\n",
       "    <th>38.240158</th>\n",
       "    <th>38.240158</th>\n",
       "    <th>1.259341</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>251</th>\n",
       "    <th>38.661251</th>\n",
       "    <th>40.603374</th>\n",
       "    <th>40.603374</th>\n",
       "    <th>1.340460</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>252</th>\n",
       "    <th>37.471855</th>\n",
       "    <th>37.559235</th>\n",
       "    <th>37.559235</th>\n",
       "    <th>1.197539</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>253</th>\n",
       "    <th>37.287163</th>\n",
       "    <th>37.831902</th>\n",
       "    <th>37.831902</th>\n",
       "    <th>1.237301</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>254</th>\n",
       "    <th>39.259003</th>\n",
       "    <th>51.309368</th>\n",
       "    <th>51.309368</th>\n",
       "    <th>1.722150</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>255</th>\n",
       "    <th>40.410774</th>\n",
       "    <th>39.920994</th>\n",
       "    <th>39.920994</th>\n",
       "    <th>1.289947</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>256</th>\n",
       "    <th>36.425053</th>\n",
       "    <th>37.782467</th>\n",
       "    <th>37.782467</th>\n",
       "    <th>1.183591</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>257</th>\n",
       "    <th>36.325497</th>\n",
       "    <th>39.826031</th>\n",
       "    <th>39.826031</th>\n",
       "    <th>1.343220</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>258</th>\n",
       "    <th>40.130672</th>\n",
       "    <th>39.324955</th>\n",
       "    <th>39.324955</th>\n",
       "    <th>1.422606</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>259</th>\n",
       "    <th>39.062538</th>\n",
       "    <th>38.741886</th>\n",
       "    <th>38.741886</th>\n",
       "    <th>1.281894</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>260</th>\n",
       "    <th>38.239716</th>\n",
       "    <th>37.311249</th>\n",
       "    <th>37.311249</th>\n",
       "    <th>1.201129</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>261</th>\n",
       "    <th>37.036800</th>\n",
       "    <th>38.634171</th>\n",
       "    <th>38.634171</th>\n",
       "    <th>1.271440</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>262</th>\n",
       "    <th>36.474438</th>\n",
       "    <th>38.008854</th>\n",
       "    <th>38.008854</th>\n",
       "    <th>1.258247</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>263</th>\n",
       "    <th>36.076942</th>\n",
       "    <th>40.058895</th>\n",
       "    <th>40.058895</th>\n",
       "    <th>1.219163</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>264</th>\n",
       "    <th>42.052082</th>\n",
       "    <th>49.261017</th>\n",
       "    <th>49.261017</th>\n",
       "    <th>1.655682</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>265</th>\n",
       "    <th>39.188213</th>\n",
       "    <th>40.429749</th>\n",
       "    <th>40.429749</th>\n",
       "    <th>1.363950</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>266</th>\n",
       "    <th>35.808186</th>\n",
       "    <th>37.976635</th>\n",
       "    <th>37.976635</th>\n",
       "    <th>1.185888</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>267</th>\n",
       "    <th>39.831062</th>\n",
       "    <th>46.471439</th>\n",
       "    <th>46.471439</th>\n",
       "    <th>1.566043</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>268</th>\n",
       "    <th>37.118282</th>\n",
       "    <th>39.556797</th>\n",
       "    <th>39.556797</th>\n",
       "    <th>1.291089</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>269</th>\n",
       "    <th>43.897579</th>\n",
       "    <th>41.005226</th>\n",
       "    <th>41.005226</th>\n",
       "    <th>1.403008</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>270</th>\n",
       "    <th>39.336071</th>\n",
       "    <th>36.683430</th>\n",
       "    <th>36.683430</th>\n",
       "    <th>1.227037</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>271</th>\n",
       "    <th>36.708069</th>\n",
       "    <th>36.481613</th>\n",
       "    <th>36.481613</th>\n",
       "    <th>1.183553</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>272</th>\n",
       "    <th>35.970009</th>\n",
       "    <th>36.038448</th>\n",
       "    <th>36.038448</th>\n",
       "    <th>1.145982</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>273</th>\n",
       "    <th>36.097145</th>\n",
       "    <th>37.918358</th>\n",
       "    <th>37.918358</th>\n",
       "    <th>1.193657</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>274</th>\n",
       "    <th>35.986000</th>\n",
       "    <th>36.322742</th>\n",
       "    <th>36.322742</th>\n",
       "    <th>1.179196</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>275</th>\n",
       "    <th>35.891747</th>\n",
       "    <th>38.801617</th>\n",
       "    <th>38.801617</th>\n",
       "    <th>1.209024</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>276</th>\n",
       "    <th>35.754841</th>\n",
       "    <th>37.209171</th>\n",
       "    <th>37.209171</th>\n",
       "    <th>1.193106</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>277</th>\n",
       "    <th>43.052029</th>\n",
       "    <th>40.173931</th>\n",
       "    <th>40.173931</th>\n",
       "    <th>1.433938</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>278</th>\n",
       "    <th>36.753181</th>\n",
       "    <th>35.997860</th>\n",
       "    <th>35.997860</th>\n",
       "    <th>1.148257</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>279</th>\n",
       "    <th>36.487171</th>\n",
       "    <th>37.622341</th>\n",
       "    <th>37.622341</th>\n",
       "    <th>1.174897</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>280</th>\n",
       "    <th>35.287651</th>\n",
       "    <th>35.537792</th>\n",
       "    <th>35.537792</th>\n",
       "    <th>1.093981</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>281</th>\n",
       "    <th>35.665154</th>\n",
       "    <th>36.999138</th>\n",
       "    <th>36.999138</th>\n",
       "    <th>1.168502</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>282</th>\n",
       "    <th>35.286369</th>\n",
       "    <th>38.524075</th>\n",
       "    <th>38.524075</th>\n",
       "    <th>1.227289</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>283</th>\n",
       "    <th>37.010315</th>\n",
       "    <th>36.557846</th>\n",
       "    <th>36.557846</th>\n",
       "    <th>1.163953</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>284</th>\n",
       "    <th>35.499237</th>\n",
       "    <th>37.184742</th>\n",
       "    <th>37.184742</th>\n",
       "    <th>1.155178</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>285</th>\n",
       "    <th>44.228767</th>\n",
       "    <th>40.440769</th>\n",
       "    <th>40.440769</th>\n",
       "    <th>1.372785</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>286</th>\n",
       "    <th>37.861622</th>\n",
       "    <th>38.471004</th>\n",
       "    <th>38.471004</th>\n",
       "    <th>1.245117</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>287</th>\n",
       "    <th>39.712849</th>\n",
       "    <th>40.577347</th>\n",
       "    <th>40.577347</th>\n",
       "    <th>1.375352</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>288</th>\n",
       "    <th>38.537563</th>\n",
       "    <th>37.955963</th>\n",
       "    <th>37.955963</th>\n",
       "    <th>1.218082</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>289</th>\n",
       "    <th>36.228203</th>\n",
       "    <th>36.834686</th>\n",
       "    <th>36.834686</th>\n",
       "    <th>1.198346</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>290</th>\n",
       "    <th>36.325897</th>\n",
       "    <th>36.568192</th>\n",
       "    <th>36.568192</th>\n",
       "    <th>1.141334</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>291</th>\n",
       "    <th>36.762554</th>\n",
       "    <th>39.655174</th>\n",
       "    <th>39.655174</th>\n",
       "    <th>1.212796</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>292</th>\n",
       "    <th>37.943905</th>\n",
       "    <th>41.350449</th>\n",
       "    <th>41.350449</th>\n",
       "    <th>1.448817</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>293</th>\n",
       "    <th>36.307999</th>\n",
       "    <th>35.964500</th>\n",
       "    <th>35.964500</th>\n",
       "    <th>1.113121</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>294</th>\n",
       "    <th>35.335514</th>\n",
       "    <th>37.421261</th>\n",
       "    <th>37.421261</th>\n",
       "    <th>1.130120</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>295</th>\n",
       "    <th>35.130657</th>\n",
       "    <th>36.682400</th>\n",
       "    <th>36.682400</th>\n",
       "    <th>1.128087</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>296</th>\n",
       "    <th>34.922180</th>\n",
       "    <th>36.524826</th>\n",
       "    <th>36.524826</th>\n",
       "    <th>1.148043</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>297</th>\n",
       "    <th>34.647957</th>\n",
       "    <th>36.334194</th>\n",
       "    <th>36.334194</th>\n",
       "    <th>1.071697</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>298</th>\n",
       "    <th>34.106461</th>\n",
       "    <th>35.723637</th>\n",
       "    <th>35.723637</th>\n",
       "    <th>1.088747</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>299</th>\n",
       "    <th>36.613594</th>\n",
       "    <th>35.939262</th>\n",
       "    <th>35.939262</th>\n",
       "    <th>1.099787</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>300</th>\n",
       "    <th>35.134457</th>\n",
       "    <th>37.652245</th>\n",
       "    <th>37.652245</th>\n",
       "    <th>1.134454</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>301</th>\n",
       "    <th>34.095921</th>\n",
       "    <th>36.497295</th>\n",
       "    <th>36.497295</th>\n",
       "    <th>1.041647</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>302</th>\n",
       "    <th>34.258511</th>\n",
       "    <th>36.367439</th>\n",
       "    <th>36.367439</th>\n",
       "    <th>1.107377</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>303</th>\n",
       "    <th>33.534306</th>\n",
       "    <th>36.841309</th>\n",
       "    <th>36.841309</th>\n",
       "    <th>1.096607</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>304</th>\n",
       "    <th>33.678322</th>\n",
       "    <th>36.519680</th>\n",
       "    <th>36.519680</th>\n",
       "    <th>1.180897</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>305</th>\n",
       "    <th>35.076069</th>\n",
       "    <th>36.681824</th>\n",
       "    <th>36.681824</th>\n",
       "    <th>1.113910</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>306</th>\n",
       "    <th>36.823948</th>\n",
       "    <th>38.430309</th>\n",
       "    <th>38.430309</th>\n",
       "    <th>1.209834</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>307</th>\n",
       "    <th>35.461433</th>\n",
       "    <th>36.915333</th>\n",
       "    <th>36.915333</th>\n",
       "    <th>1.114790</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>308</th>\n",
       "    <th>34.374111</th>\n",
       "    <th>36.567688</th>\n",
       "    <th>36.567688</th>\n",
       "    <th>1.145267</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>309</th>\n",
       "    <th>33.222771</th>\n",
       "    <th>36.973915</th>\n",
       "    <th>36.973915</th>\n",
       "    <th>1.105948</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>310</th>\n",
       "    <th>32.968552</th>\n",
       "    <th>36.033375</th>\n",
       "    <th>36.033375</th>\n",
       "    <th>1.100478</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>311</th>\n",
       "    <th>33.639259</th>\n",
       "    <th>37.665733</th>\n",
       "    <th>37.665733</th>\n",
       "    <th>1.163757</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>312</th>\n",
       "    <th>32.249626</th>\n",
       "    <th>35.623653</th>\n",
       "    <th>35.623653</th>\n",
       "    <th>1.075027</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>313</th>\n",
       "    <th>33.532871</th>\n",
       "    <th>37.136192</th>\n",
       "    <th>37.136192</th>\n",
       "    <th>1.110448</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>314</th>\n",
       "    <th>34.412109</th>\n",
       "    <th>35.826149</th>\n",
       "    <th>35.826149</th>\n",
       "    <th>1.142332</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>315</th>\n",
       "    <th>33.833286</th>\n",
       "    <th>35.422779</th>\n",
       "    <th>35.422779</th>\n",
       "    <th>1.070381</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>316</th>\n",
       "    <th>34.626095</th>\n",
       "    <th>36.110790</th>\n",
       "    <th>36.110790</th>\n",
       "    <th>1.096844</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>317</th>\n",
       "    <th>33.183159</th>\n",
       "    <th>36.070183</th>\n",
       "    <th>36.070183</th>\n",
       "    <th>1.076677</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>318</th>\n",
       "    <th>35.783821</th>\n",
       "    <th>38.359901</th>\n",
       "    <th>38.359901</th>\n",
       "    <th>1.204190</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>319</th>\n",
       "    <th>32.536785</th>\n",
       "    <th>35.385330</th>\n",
       "    <th>35.385330</th>\n",
       "    <th>1.010319</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>320</th>\n",
       "    <th>34.123585</th>\n",
       "    <th>39.268345</th>\n",
       "    <th>39.268345</th>\n",
       "    <th>1.229667</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>321</th>\n",
       "    <th>33.206802</th>\n",
       "    <th>35.361534</th>\n",
       "    <th>35.361534</th>\n",
       "    <th>1.088996</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>322</th>\n",
       "    <th>32.437763</th>\n",
       "    <th>34.992664</th>\n",
       "    <th>34.992664</th>\n",
       "    <th>1.008921</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>323</th>\n",
       "    <th>34.099316</th>\n",
       "    <th>37.362068</th>\n",
       "    <th>37.362068</th>\n",
       "    <th>1.125355</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>324</th>\n",
       "    <th>34.266460</th>\n",
       "    <th>35.387634</th>\n",
       "    <th>35.387634</th>\n",
       "    <th>1.071167</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>325</th>\n",
       "    <th>34.690254</th>\n",
       "    <th>37.602818</th>\n",
       "    <th>37.602818</th>\n",
       "    <th>1.181845</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>326</th>\n",
       "    <th>33.452736</th>\n",
       "    <th>35.831234</th>\n",
       "    <th>35.831234</th>\n",
       "    <th>1.111232</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>327</th>\n",
       "    <th>32.351715</th>\n",
       "    <th>35.664593</th>\n",
       "    <th>35.664593</th>\n",
       "    <th>1.058413</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>328</th>\n",
       "    <th>37.649200</th>\n",
       "    <th>36.750595</th>\n",
       "    <th>36.750595</th>\n",
       "    <th>1.091387</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>329</th>\n",
       "    <th>34.236465</th>\n",
       "    <th>37.343201</th>\n",
       "    <th>37.343201</th>\n",
       "    <th>1.097650</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>330</th>\n",
       "    <th>33.413876</th>\n",
       "    <th>36.106945</th>\n",
       "    <th>36.106945</th>\n",
       "    <th>1.083884</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>331</th>\n",
       "    <th>33.229168</th>\n",
       "    <th>36.375011</th>\n",
       "    <th>36.375011</th>\n",
       "    <th>1.125388</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>332</th>\n",
       "    <th>32.700115</th>\n",
       "    <th>35.783150</th>\n",
       "    <th>35.783150</th>\n",
       "    <th>1.019034</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>333</th>\n",
       "    <th>36.395813</th>\n",
       "    <th>39.664165</th>\n",
       "    <th>39.664165</th>\n",
       "    <th>1.276402</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>334</th>\n",
       "    <th>33.537155</th>\n",
       "    <th>35.665524</th>\n",
       "    <th>35.665524</th>\n",
       "    <th>1.094631</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>335</th>\n",
       "    <th>33.993282</th>\n",
       "    <th>36.523357</th>\n",
       "    <th>36.523357</th>\n",
       "    <th>1.130051</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>336</th>\n",
       "    <th>41.159508</th>\n",
       "    <th>46.306767</th>\n",
       "    <th>46.306767</th>\n",
       "    <th>1.585045</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>337</th>\n",
       "    <th>36.516468</th>\n",
       "    <th>36.664455</th>\n",
       "    <th>36.664455</th>\n",
       "    <th>1.119687</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>338</th>\n",
       "    <th>34.020645</th>\n",
       "    <th>37.754570</th>\n",
       "    <th>37.754570</th>\n",
       "    <th>1.127382</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>339</th>\n",
       "    <th>32.839840</th>\n",
       "    <th>35.298180</th>\n",
       "    <th>35.298180</th>\n",
       "    <th>1.055759</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>340</th>\n",
       "    <th>33.628284</th>\n",
       "    <th>37.553963</th>\n",
       "    <th>37.553963</th>\n",
       "    <th>1.143069</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>341</th>\n",
       "    <th>32.951233</th>\n",
       "    <th>37.526924</th>\n",
       "    <th>37.526924</th>\n",
       "    <th>1.106587</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>342</th>\n",
       "    <th>33.977036</th>\n",
       "    <th>35.847164</th>\n",
       "    <th>35.847164</th>\n",
       "    <th>1.027142</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>343</th>\n",
       "    <th>32.411068</th>\n",
       "    <th>34.568836</th>\n",
       "    <th>34.568836</th>\n",
       "    <th>1.007755</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>344</th>\n",
       "    <th>33.055710</th>\n",
       "    <th>36.890564</th>\n",
       "    <th>36.890564</th>\n",
       "    <th>1.200015</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>345</th>\n",
       "    <th>33.413445</th>\n",
       "    <th>38.122452</th>\n",
       "    <th>38.122452</th>\n",
       "    <th>1.142123</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>346</th>\n",
       "    <th>33.879490</th>\n",
       "    <th>35.162189</th>\n",
       "    <th>35.162189</th>\n",
       "    <th>1.093238</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>347</th>\n",
       "    <th>32.441021</th>\n",
       "    <th>37.120327</th>\n",
       "    <th>37.120327</th>\n",
       "    <th>1.135554</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>348</th>\n",
       "    <th>32.719494</th>\n",
       "    <th>35.408005</th>\n",
       "    <th>35.408005</th>\n",
       "    <th>1.073665</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>349</th>\n",
       "    <th>32.650719</th>\n",
       "    <th>35.876198</th>\n",
       "    <th>35.876198</th>\n",
       "    <th>1.084949</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>350</th>\n",
       "    <th>33.480904</th>\n",
       "    <th>38.373440</th>\n",
       "    <th>38.373440</th>\n",
       "    <th>1.173985</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>351</th>\n",
       "    <th>31.874743</th>\n",
       "    <th>35.095142</th>\n",
       "    <th>35.095142</th>\n",
       "    <th>1.067420</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>352</th>\n",
       "    <th>34.886429</th>\n",
       "    <th>37.270332</th>\n",
       "    <th>37.270332</th>\n",
       "    <th>1.115638</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>353</th>\n",
       "    <th>36.656528</th>\n",
       "    <th>37.515869</th>\n",
       "    <th>37.515869</th>\n",
       "    <th>1.177917</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>354</th>\n",
       "    <th>33.706131</th>\n",
       "    <th>35.898926</th>\n",
       "    <th>35.898926</th>\n",
       "    <th>1.044179</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>355</th>\n",
       "    <th>31.936218</th>\n",
       "    <th>34.984509</th>\n",
       "    <th>34.984509</th>\n",
       "    <th>1.005251</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>356</th>\n",
       "    <th>33.350651</th>\n",
       "    <th>35.734318</th>\n",
       "    <th>35.734318</th>\n",
       "    <th>1.072265</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>357</th>\n",
       "    <th>32.327335</th>\n",
       "    <th>35.581070</th>\n",
       "    <th>35.581070</th>\n",
       "    <th>1.089130</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>358</th>\n",
       "    <th>32.313122</th>\n",
       "    <th>34.693489</th>\n",
       "    <th>34.693489</th>\n",
       "    <th>1.014097</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>359</th>\n",
       "    <th>35.158810</th>\n",
       "    <th>37.271458</th>\n",
       "    <th>37.271458</th>\n",
       "    <th>1.122447</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>360</th>\n",
       "    <th>33.097927</th>\n",
       "    <th>35.424335</th>\n",
       "    <th>35.424335</th>\n",
       "    <th>1.035796</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>361</th>\n",
       "    <th>32.079910</th>\n",
       "    <th>34.797321</th>\n",
       "    <th>34.797321</th>\n",
       "    <th>1.030690</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>362</th>\n",
       "    <th>32.259949</th>\n",
       "    <th>35.794724</th>\n",
       "    <th>35.794724</th>\n",
       "    <th>1.115199</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>363</th>\n",
       "    <th>32.577343</th>\n",
       "    <th>36.479431</th>\n",
       "    <th>36.479431</th>\n",
       "    <th>1.051958</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>364</th>\n",
       "    <th>31.481628</th>\n",
       "    <th>34.258648</th>\n",
       "    <th>34.258648</th>\n",
       "    <th>0.969753</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>365</th>\n",
       "    <th>31.304501</th>\n",
       "    <th>35.419582</th>\n",
       "    <th>35.419582</th>\n",
       "    <th>1.026616</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>366</th>\n",
       "    <th>33.449455</th>\n",
       "    <th>36.961826</th>\n",
       "    <th>36.961826</th>\n",
       "    <th>1.224945</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>367</th>\n",
       "    <th>32.634811</th>\n",
       "    <th>35.658485</th>\n",
       "    <th>35.658485</th>\n",
       "    <th>1.032727</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>368</th>\n",
       "    <th>31.798525</th>\n",
       "    <th>35.043594</th>\n",
       "    <th>35.043594</th>\n",
       "    <th>1.053486</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>369</th>\n",
       "    <th>31.651520</th>\n",
       "    <th>34.528355</th>\n",
       "    <th>34.528355</th>\n",
       "    <th>0.992704</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>370</th>\n",
       "    <th>31.514076</th>\n",
       "    <th>35.371876</th>\n",
       "    <th>35.371876</th>\n",
       "    <th>1.028887</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>371</th>\n",
       "    <th>31.724613</th>\n",
       "    <th>35.667736</th>\n",
       "    <th>35.667736</th>\n",
       "    <th>1.059360</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>372</th>\n",
       "    <th>31.165007</th>\n",
       "    <th>33.337738</th>\n",
       "    <th>33.337738</th>\n",
       "    <th>0.967192</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>373</th>\n",
       "    <th>31.490377</th>\n",
       "    <th>35.546738</th>\n",
       "    <th>35.546738</th>\n",
       "    <th>1.079437</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>374</th>\n",
       "    <th>32.045212</th>\n",
       "    <th>38.002880</th>\n",
       "    <th>38.002880</th>\n",
       "    <th>1.161075</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>375</th>\n",
       "    <th>33.961086</th>\n",
       "    <th>34.602951</th>\n",
       "    <th>34.602951</th>\n",
       "    <th>1.017851</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>376</th>\n",
       "    <th>31.904802</th>\n",
       "    <th>36.481331</th>\n",
       "    <th>36.481331</th>\n",
       "    <th>1.053053</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>377</th>\n",
       "    <th>32.153576</th>\n",
       "    <th>36.046112</th>\n",
       "    <th>36.046112</th>\n",
       "    <th>1.025130</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>378</th>\n",
       "    <th>31.522047</th>\n",
       "    <th>34.786850</th>\n",
       "    <th>34.786850</th>\n",
       "    <th>1.019650</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>379</th>\n",
       "    <th>31.381540</th>\n",
       "    <th>33.713306</th>\n",
       "    <th>33.713306</th>\n",
       "    <th>0.983422</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>380</th>\n",
       "    <th>30.745632</th>\n",
       "    <th>35.570183</th>\n",
       "    <th>35.570183</th>\n",
       "    <th>1.061584</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>381</th>\n",
       "    <th>32.234749</th>\n",
       "    <th>35.684139</th>\n",
       "    <th>35.684139</th>\n",
       "    <th>1.058985</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>382</th>\n",
       "    <th>30.926029</th>\n",
       "    <th>33.994217</th>\n",
       "    <th>33.994217</th>\n",
       "    <th>1.000651</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>383</th>\n",
       "    <th>31.478819</th>\n",
       "    <th>33.855587</th>\n",
       "    <th>33.855587</th>\n",
       "    <th>0.985789</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>384</th>\n",
       "    <th>31.316669</th>\n",
       "    <th>36.085938</th>\n",
       "    <th>36.085938</th>\n",
       "    <th>1.067161</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>385</th>\n",
       "    <th>30.362734</th>\n",
       "    <th>33.995537</th>\n",
       "    <th>33.995537</th>\n",
       "    <th>0.985000</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>386</th>\n",
       "    <th>30.419474</th>\n",
       "    <th>36.682449</th>\n",
       "    <th>36.682449</th>\n",
       "    <th>1.099665</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>387</th>\n",
       "    <th>30.098387</th>\n",
       "    <th>33.918629</th>\n",
       "    <th>33.918629</th>\n",
       "    <th>0.998863</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>388</th>\n",
       "    <th>31.003206</th>\n",
       "    <th>36.786987</th>\n",
       "    <th>36.786987</th>\n",
       "    <th>1.086371</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>389</th>\n",
       "    <th>30.729668</th>\n",
       "    <th>35.106892</th>\n",
       "    <th>35.106892</th>\n",
       "    <th>1.064236</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>390</th>\n",
       "    <th>30.702198</th>\n",
       "    <th>35.467670</th>\n",
       "    <th>35.467670</th>\n",
       "    <th>1.050807</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>391</th>\n",
       "    <th>29.924683</th>\n",
       "    <th>34.026501</th>\n",
       "    <th>34.026501</th>\n",
       "    <th>0.943973</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>392</th>\n",
       "    <th>30.582241</th>\n",
       "    <th>35.125446</th>\n",
       "    <th>35.125446</th>\n",
       "    <th>1.012361</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>393</th>\n",
       "    <th>30.262424</th>\n",
       "    <th>32.698261</th>\n",
       "    <th>32.698261</th>\n",
       "    <th>0.934587</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>394</th>\n",
       "    <th>31.786409</th>\n",
       "    <th>39.258705</th>\n",
       "    <th>39.258705</th>\n",
       "    <th>1.226438</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>395</th>\n",
       "    <th>31.555914</th>\n",
       "    <th>34.538033</th>\n",
       "    <th>34.538033</th>\n",
       "    <th>1.029492</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>396</th>\n",
       "    <th>30.473457</th>\n",
       "    <th>35.292046</th>\n",
       "    <th>35.292046</th>\n",
       "    <th>1.044526</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>397</th>\n",
       "    <th>32.033630</th>\n",
       "    <th>34.840096</th>\n",
       "    <th>34.840096</th>\n",
       "    <th>0.972596</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>398</th>\n",
       "    <th>30.552565</th>\n",
       "    <th>34.981770</th>\n",
       "    <th>34.981770</th>\n",
       "    <th>0.974403</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>399</th>\n",
       "    <th>34.368942</th>\n",
       "    <th>41.011768</th>\n",
       "    <th>41.011768</th>\n",
       "    <th>1.361820</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>400</th>\n",
       "    <th>31.504934</th>\n",
       "    <th>34.325550</th>\n",
       "    <th>34.325550</th>\n",
       "    <th>0.977223</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>401</th>\n",
       "    <th>30.644659</th>\n",
       "    <th>35.771839</th>\n",
       "    <th>35.771839</th>\n",
       "    <th>1.035018</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>402</th>\n",
       "    <th>31.470516</th>\n",
       "    <th>33.890751</th>\n",
       "    <th>33.890751</th>\n",
       "    <th>1.003433</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>403</th>\n",
       "    <th>30.811638</th>\n",
       "    <th>36.416565</th>\n",
       "    <th>36.416565</th>\n",
       "    <th>1.072141</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>404</th>\n",
       "    <th>31.674200</th>\n",
       "    <th>35.880898</th>\n",
       "    <th>35.880898</th>\n",
       "    <th>1.098920</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>405</th>\n",
       "    <th>30.954994</th>\n",
       "    <th>34.372105</th>\n",
       "    <th>34.372105</th>\n",
       "    <th>0.986267</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>406</th>\n",
       "    <th>30.937540</th>\n",
       "    <th>38.572968</th>\n",
       "    <th>38.572968</th>\n",
       "    <th>1.097266</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>407</th>\n",
       "    <th>31.979862</th>\n",
       "    <th>34.340237</th>\n",
       "    <th>34.340237</th>\n",
       "    <th>0.969597</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>408</th>\n",
       "    <th>31.359426</th>\n",
       "    <th>34.558258</th>\n",
       "    <th>34.558258</th>\n",
       "    <th>1.030349</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>409</th>\n",
       "    <th>32.603828</th>\n",
       "    <th>36.240086</th>\n",
       "    <th>36.240086</th>\n",
       "    <th>1.073880</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>410</th>\n",
       "    <th>32.236778</th>\n",
       "    <th>34.599384</th>\n",
       "    <th>34.599384</th>\n",
       "    <th>1.052211</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>411</th>\n",
       "    <th>30.477158</th>\n",
       "    <th>33.631859</th>\n",
       "    <th>33.631859</th>\n",
       "    <th>0.973342</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>412</th>\n",
       "    <th>30.252335</th>\n",
       "    <th>34.732822</th>\n",
       "    <th>34.732822</th>\n",
       "    <th>1.015595</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>413</th>\n",
       "    <th>30.580004</th>\n",
       "    <th>35.511036</th>\n",
       "    <th>35.511036</th>\n",
       "    <th>1.077107</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>414</th>\n",
       "    <th>30.401432</th>\n",
       "    <th>33.984406</th>\n",
       "    <th>33.984406</th>\n",
       "    <th>0.967901</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>415</th>\n",
       "    <th>30.487799</th>\n",
       "    <th>33.877800</th>\n",
       "    <th>33.877800</th>\n",
       "    <th>0.966636</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>416</th>\n",
       "    <th>30.975605</th>\n",
       "    <th>34.999947</th>\n",
       "    <th>34.999947</th>\n",
       "    <th>1.057865</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>417</th>\n",
       "    <th>30.826237</th>\n",
       "    <th>34.433464</th>\n",
       "    <th>34.433464</th>\n",
       "    <th>1.020281</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>418</th>\n",
       "    <th>30.184683</th>\n",
       "    <th>35.290157</th>\n",
       "    <th>35.290157</th>\n",
       "    <th>1.006298</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>419</th>\n",
       "    <th>31.490602</th>\n",
       "    <th>35.732220</th>\n",
       "    <th>35.732220</th>\n",
       "    <th>1.105228</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>420</th>\n",
       "    <th>34.614594</th>\n",
       "    <th>35.829670</th>\n",
       "    <th>35.829670</th>\n",
       "    <th>1.148698</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>421</th>\n",
       "    <th>31.559555</th>\n",
       "    <th>34.974533</th>\n",
       "    <th>34.974533</th>\n",
       "    <th>1.022041</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>422</th>\n",
       "    <th>29.717779</th>\n",
       "    <th>35.205990</th>\n",
       "    <th>35.205990</th>\n",
       "    <th>1.014766</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>423</th>\n",
       "    <th>30.110489</th>\n",
       "    <th>34.831818</th>\n",
       "    <th>34.831818</th>\n",
       "    <th>1.031386</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>424</th>\n",
       "    <th>29.264057</th>\n",
       "    <th>33.565620</th>\n",
       "    <th>33.565620</th>\n",
       "    <th>0.938573</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>425</th>\n",
       "    <th>30.165073</th>\n",
       "    <th>34.182846</th>\n",
       "    <th>34.182846</th>\n",
       "    <th>0.989177</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>426</th>\n",
       "    <th>30.457541</th>\n",
       "    <th>35.662567</th>\n",
       "    <th>35.662567</th>\n",
       "    <th>0.965307</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>427</th>\n",
       "    <th>31.364866</th>\n",
       "    <th>36.828564</th>\n",
       "    <th>36.828564</th>\n",
       "    <th>1.088153</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>428</th>\n",
       "    <th>30.039677</th>\n",
       "    <th>34.082836</th>\n",
       "    <th>34.082836</th>\n",
       "    <th>0.946926</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>429</th>\n",
       "    <th>30.150244</th>\n",
       "    <th>33.601467</th>\n",
       "    <th>33.601467</th>\n",
       "    <th>0.944148</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>430</th>\n",
       "    <th>29.262598</th>\n",
       "    <th>34.267189</th>\n",
       "    <th>34.267189</th>\n",
       "    <th>0.950709</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>431</th>\n",
       "    <th>29.462666</th>\n",
       "    <th>33.485786</th>\n",
       "    <th>33.485786</th>\n",
       "    <th>0.929983</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>432</th>\n",
       "    <th>29.420059</th>\n",
       "    <th>34.168041</th>\n",
       "    <th>34.168041</th>\n",
       "    <th>0.954454</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>433</th>\n",
       "    <th>30.280581</th>\n",
       "    <th>34.307110</th>\n",
       "    <th>34.307110</th>\n",
       "    <th>1.027334</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>434</th>\n",
       "    <th>30.567596</th>\n",
       "    <th>33.585892</th>\n",
       "    <th>33.585892</th>\n",
       "    <th>0.996175</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>435</th>\n",
       "    <th>29.206593</th>\n",
       "    <th>33.819904</th>\n",
       "    <th>33.819904</th>\n",
       "    <th>0.984042</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>436</th>\n",
       "    <th>31.778490</th>\n",
       "    <th>34.097820</th>\n",
       "    <th>34.097820</th>\n",
       "    <th>1.043280</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>437</th>\n",
       "    <th>30.386511</th>\n",
       "    <th>35.393414</th>\n",
       "    <th>35.393414</th>\n",
       "    <th>1.033708</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>438</th>\n",
       "    <th>30.100714</th>\n",
       "    <th>34.132317</th>\n",
       "    <th>34.132317</th>\n",
       "    <th>0.982995</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>439</th>\n",
       "    <th>29.185320</th>\n",
       "    <th>35.067051</th>\n",
       "    <th>35.067051</th>\n",
       "    <th>0.992354</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>440</th>\n",
       "    <th>29.309080</th>\n",
       "    <th>33.636383</th>\n",
       "    <th>33.636383</th>\n",
       "    <th>0.973431</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>441</th>\n",
       "    <th>29.406490</th>\n",
       "    <th>33.440483</th>\n",
       "    <th>33.440483</th>\n",
       "    <th>0.964426</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>442</th>\n",
       "    <th>29.449554</th>\n",
       "    <th>34.835262</th>\n",
       "    <th>34.835262</th>\n",
       "    <th>1.016160</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>443</th>\n",
       "    <th>30.438896</th>\n",
       "    <th>33.922569</th>\n",
       "    <th>33.922569</th>\n",
       "    <th>0.976636</th>\n",
       "  </tr>\n",
       "</table>\n",
       "\n",
       "\n",
       "    <div>\n",
       "        <style>\n",
       "            /* Turns off some styling */\n",
       "            progress {\n",
       "                /* gets rid of default border in Firefox and Opera. */\n",
       "                border: none;\n",
       "                /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
       "                background-size: auto;\n",
       "            }\n",
       "            .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
       "                background: #F44336;\n",
       "            }\n",
       "        </style>\n",
       "      <progress value='5' class='' max='5', style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
       "      100.00% [5/5 00:00<00:00]\n",
       "    </div>\n",
       "    "
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 444: early stopping\n"
     ]
    }
   ],
   "source": [
    "l.fit_one_cycle(1000, lr)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
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      "text/plain": [
       "<Figure size 2880x2160 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "l.recorder.plot_losses()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "l.save(f\"speedup_{optimizer}_batch_norm_{batch_norm}_{loss_func}_nlayers_{len(layers_sizes)}_log_{log}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "val_df = get_results_df(val_dl, l.model)\n",
    "train_df = get_results_df(train_dl, l.model)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = train_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>prediction</th>\n",
       "      <th>target</th>\n",
       "      <th>abs_diff</th>\n",
       "      <th>APE</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>245283.000000</td>\n",
       "      <td>245283.000000</td>\n",
       "      <td>2.452830e+05</td>\n",
       "      <td>245283.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>0.973292</td>\n",
       "      <td>1.135724</td>\n",
       "      <td>2.070218e-01</td>\n",
       "      <td>15.228132</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>1.124538</td>\n",
       "      <td>1.405682</td>\n",
       "      <td>5.847120e-01</td>\n",
       "      <td>24.904913</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.012357</td>\n",
       "      <td>0.008491</td>\n",
       "      <td>3.352761e-07</td>\n",
       "      <td>0.000218</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>0.243841</td>\n",
       "      <td>0.278690</td>\n",
       "      <td>7.342458e-03</td>\n",
       "      <td>1.289277</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>0.794391</td>\n",
       "      <td>0.899071</td>\n",
       "      <td>3.170320e-02</td>\n",
       "      <td>8.011918</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>0.994557</td>\n",
       "      <td>1.036481</td>\n",
       "      <td>1.367869e-01</td>\n",
       "      <td>18.878038</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>7.289485</td>\n",
       "      <td>16.089287</td>\n",
       "      <td>1.573884e+01</td>\n",
       "      <td>843.024414</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          prediction         target      abs_diff            APE\n",
       "count  245283.000000  245283.000000  2.452830e+05  245283.000000\n",
       "mean        0.973292       1.135724  2.070218e-01      15.228132\n",
       "std         1.124538       1.405682  5.847120e-01      24.904913\n",
       "min         0.012357       0.008491  3.352761e-07       0.000218\n",
       "25%         0.243841       0.278690  7.342458e-03       1.289277\n",
       "50%         0.794391       0.899071  3.170320e-02       8.011918\n",
       "75%         0.994557       1.036481  1.367869e-01      18.878038\n",
       "max         7.289485      16.089287  1.573884e+01     843.024414"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[:][['prediction','target', 'abs_diff','APE']].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 144,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>prediction</th>\n",
       "      <th>target</th>\n",
       "      <th>abs_diff</th>\n",
       "      <th>APE</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>10000.000000</td>\n",
       "      <td>10000.000000</td>\n",
       "      <td>10000.000000</td>\n",
       "      <td>10000.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>1.340973</td>\n",
       "      <td>1.827336</td>\n",
       "      <td>0.608132</td>\n",
       "      <td>30.824635</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>1.507820</td>\n",
       "      <td>1.896899</td>\n",
       "      <td>0.946689</td>\n",
       "      <td>25.646006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.016576</td>\n",
       "      <td>0.014435</td>\n",
       "      <td>0.000010</td>\n",
       "      <td>0.026734</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>0.255195</td>\n",
       "      <td>0.400166</td>\n",
       "      <td>0.056756</td>\n",
       "      <td>10.030512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>0.731224</td>\n",
       "      <td>1.103367</td>\n",
       "      <td>0.202379</td>\n",
       "      <td>24.229412</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>1.809107</td>\n",
       "      <td>2.574541</td>\n",
       "      <td>0.798606</td>\n",
       "      <td>45.231402</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>6.959387</td>\n",
       "      <td>11.454971</td>\n",
       "      <td>11.197384</td>\n",
       "      <td>352.485809</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         prediction        target      abs_diff           APE\n",
       "count  10000.000000  10000.000000  10000.000000  10000.000000\n",
       "mean       1.340973      1.827336      0.608132     30.824635\n",
       "std        1.507820      1.896899      0.946689     25.646006\n",
       "min        0.016576      0.014435      0.000010      0.026734\n",
       "25%        0.255195      0.400166      0.056756     10.030512\n",
       "50%        0.731224      1.103367      0.202379     24.229412\n",
       "75%        1.809107      2.574541      0.798606     45.231402\n",
       "max        6.959387     11.454971     11.197384    352.485809"
      ]
     },
     "execution_count": 144,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[:][['prediction','target', 'abs_diff','APE']].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>prediction</th>\n",
       "      <th>target</th>\n",
       "      <th>abs_diff</th>\n",
       "      <th>APE</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>50406.000000</td>\n",
       "      <td>50406.0</td>\n",
       "      <td>50406.000000</td>\n",
       "      <td>50406.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>0.976389</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.025974</td>\n",
       "      <td>2.597483</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.129319</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.128854</td>\n",
       "      <td>12.885549</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.030101</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.000039</td>\n",
       "      <td>0.003862</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>0.992063</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.005899</td>\n",
       "      <td>0.589913</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>0.993235</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.006828</td>\n",
       "      <td>0.682819</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>0.994147</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.008019</td>\n",
       "      <td>0.801933</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>5.496737</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.496737</td>\n",
       "      <td>449.673737</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         prediction   target      abs_diff           APE\n",
       "count  50406.000000  50406.0  50406.000000  50406.000000\n",
       "mean       0.976389      1.0      0.025974      2.597483\n",
       "std        0.129319      0.0      0.128854     12.885549\n",
       "min        0.030101      1.0      0.000039      0.003862\n",
       "25%        0.992063      1.0      0.005899      0.589913\n",
       "50%        0.993235      1.0      0.006828      0.682819\n",
       "75%        0.994147      1.0      0.008019      0.801933\n",
       "max        5.496737      1.0      4.496737    449.673737"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[(df.interchange==0) & (df.unroll == 0) & (df.tile == 0)][['prediction','target', 'abs_diff','APE']].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 432x432 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df1 = df[(df.interchange==0) & (df.unroll == 0) & (df.tile == 0)]\n",
    "#joint_plot(df1, f\"Validation dataset, {loss_func} loss\")\n",
    "df2 = df\n",
    "joint_plot(df2, f\"Validation dataset, {loss_func} loss\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_ = df.sort_values(by=[\"APE\"])\n",
    "\n",
    "df_['x'] = range(len(df_))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7ff50ae24a90>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot('x', 'APE', 'bo', data=df_)\n",
    "\n",
    "\n",
    "plt.xlabel('scheduled program')\n",
    "plt.ylabel('APE')\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f67e6ceb2e8>]"
      ]
     },
     "execution_count": 134,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2880x2160 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot('x', 'APE', 'go', data=df_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
